• The Journal of Small Business Innovation
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• v.20 no.2
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• pp.35-50
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• 2017

The aims of this study is to analyze the effectiveness of firms financial status quo and the scale of financial support on SMEs overall performance. We have gathered the financial guarantee data from 1998 to 2013, provided by Korea Credit Guarantee Fund (KODIT), to analyze the effectiveness of Financial policy. To classify both financial status quo and scale of financial support, we utilized the following variables; Interest Coverage Ratio (ICR) and newly guaranteed amount ratio. To take the measurement of the overall performance, we employed profitability, growth ratio and activity index. To minimize the effect of repeated financial support (redundancy benefits), firms were selected based on the following criteria: firms that receive no financial support prior to implementing such policy over the last 3 years and no new financial support over the last 2 years. Results suggest that firms with higher ICR and large newly guaranteed amount influence on financial performance in terms of profitability index. Firms with lower ICR and large scale financial support showed a better performance compare to firms with small-scale financial support. Firms with large-scale financial support, irrespective of ICR inclined to have better performance to those of small-scale financial support in terms of growth index. For activity index, however, firms with large scale support led to higher performance in the short term. In turn, our analysis presents objective perspective with respect to the effectiveness of financial policy through credit guarantee on overall performance of SMEs. This study, therefore, implies that well-balanced SMEs supporting policy may lead to better directions.

• KIEAE Journal
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• v.6 no.4
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• pp.25-32
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• 2006

Mock-up model can be applied to measure accurate performance data but difficult to apply the variables in experiment. There can be a slight experiment errors in Scale model, but various parameters can be applied for a objective experiment. This paper aims to compare the daylighting performance in 1, 1/5, 1/10 scale model of offices and analyze the experiment errors to certificate the influence of model experiment. To analyse daylighting performance, a comparison of a Mock-up model, sized $12.0m(w){\times}7.2m(l){\times}3.7m(h)$, designed for experimentation of daylighting systems and its 1:5, 1:10 scale model. It has an identical configuration of reference room and the test room. For the test room, the lightshelf system was designed as Micro-4 reflective material. To assess work plane illuminance and light factor, photometric sensors of each room were installed at work-plane(6 points) and exterior horizontal illuminance (1 point). And luminance of window, rare of the room was measured under clear sky. It is to be monitored by Agilent data logger, photometric sensor Li-cor and the Radiant Imaging ProMetric 1400. Comparisons with a light factor, increase-decrease ratio and luminance are discussed.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.11
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• pp.1041-1045
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• 2010

Clusters can provide scalable and flexible architectures for parallel computing servers and data centers. Their performance prediction has been a very challenging issue. Existing performance measurement methodologies are able to measure the performance of servers already constructed. Thus they cannot provide a way to predict the overall system performance in advance when designing the system at the initial phase or adding more nodes for more capacity. Therefore, the performance modeling and prediction methodology for large-scale clusters is highly required. In this paper, we suggest a methodology to predict the performance of large-scale clusters, which consists of measurement, modeling and prediction steps. We apply the methodology to a real cluster server and show its usefulness.

• Journal of the Korean Data and Information Science Society
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• v.19 no.4
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• pp.1123-1131
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• 2008

A considerable amount of research has focused on the dimensionality of service failure and recovery construct. This paper is focused on service failure and recovery in the Korean native cattle and imported beef restaurant industry in the Korea. So, this paper has adapted Kau and Loh's Service recovery measurement scale so that restaurant managers can use it to determine how customers perceive the service quality in Korean native cattle beef restaurant and imported beef restaurant. The purpose of this research is to test the difference in pre-purchase expectation and post-purchase actual performance of 4 dimensions between the restaurants that sell the beef of Korean native cattle and imported cattle. The paired t -test is used to test difference of pre-purchase expectation and post-purchase actual performance for service recovery measurement scale's 4 dimensions of the 2 restaurant types. But, there is significant difference between pre-purchase expectation and post-purchase actual performance in the 2 restaurant types.

• IEMEK Journal of Embedded Systems and Applications
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• v.12 no.4
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• pp.231-238
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• 2017

Detecting small infrared targets from the low-SCR images at a long distance is very hard. The previous Local Contrast Method (LCM) algorithm based on the human visual system shows a superior performance of detecting small targets by a background suppression technique through local contrast measure. However, its slow processing speed due to the heavy multi-scale processing overhead is not suitable to a variety of real-time applications. This paper presents a lightweight real-time small target detection algorithm, called by the Improved Selective Local Contrast Method (ISLCM), to reduce the scale-invariant computational overhead. The proposed ISLCM applies the improved local contrast measure to the predicted selective region so that it may have a comparable detection performance as the previous LCM while guaranteeing low scale-invariant computational load by exploiting both adaptive scale estimation and small target feature feasibility. Experimental results show that the proposed algorithm can reduce its computational overhead considerably while maintaining its detection performance compared with the previous LCM.

• Journal of muscle and joint health
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• v.28 no.3
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• pp.242-251
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• 2021

Purpose: The aim of this study was to examine the relationship between calling, clinical performance, role conflict, and organizational socialization and to evaluate the factors associated with organizational socialization of new nurses. Methods: This study design was cross-sectional correlational study. The participants of this study were new nurses 171 at general hospitals in Jeollabuk-do. Data was collected between August 1 to 20, 2018 from questionnaire responses and were analyzed with descriptive statistics, independent t-test, one-way ANOVA, pearson's correlation coefficient, and multiple regression analysis. Results: The average calling rating was 2.47±0.59 (rated on a scale of 1~4), clinical performance rating was 3.55±0.52 (rated on a scale of 1~5), role conflict rating was 3.29±0.59 (rated on a scale of 1~5), and organizational socialization rating 3.19±0.41 (rated on a scale of 1~5). Calling, clinical performance, role conflict, gender, and work in the desired unit were the significant factors influencing organizational socialization of new nurses. Conclusion: These findings indicate that strategies are needed to improve organizational socialization of new nurses to ensure effective management of personnel. Moreover, it is necessary to develop a program to cultivate the nursing calling, enhance clinical performance, and resolve role conflicts among new nurses.

• Journal of Korean Clinical Nursing Research
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• v.21 no.3
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• pp.347-354
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• 2015

Purpose: The purpose of this study was to investigate the effect of clinical nurses' communication competency and emotional intelligence on organizational performance. Methods: Two hundred and fifty nurses who currently work at two superior general hospitals in Seoul, Korea, participated in the study. Data were collected between March and April, 2015. Global Interpersonal Communication Competence Scale (GICC-15) developed by Hur (2003) was used to measure communication competency. Wong & Law's emotional intelligence scale (WLEIS) developed by Wong & Law (2002) was used to measure emotional intelligence. Organizational performance scale developed by Brewer & Selden (2000) was used to measure organizational performance. Results: The results were summarized as follows: 1) The means of communication competency, emotional intelligence and organizational performance were 3.61, 4.84, and 3.59 respectively. 2) There were positive correlations between communication competency, emotional intelligence and organizational performance. 3) The variance of organizational performance accounted for was 26.0% (adj $R^2=.26$). Conclusion: These findings suggest that developing human resources in nursing is important for better organizational performance.

• 한국체육학회지인문사회과학편
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• v.55 no.6
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• pp.417-435
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• 2016

The purpose of this study was to develop a valid, reliable instrument to measure perceived value for Taekwondo performance spectators. The perceived value scale for Taekwondo performance spectators was developed in eight phases. For the development spectators perceived value scale (1) literature review, (2) preliminary factors and items selected, (3) assessment of the items, (4) pilot test, (5) data sampling, (6) validity of development scale, (7) assess reliability of items and, (8) predictive validity of development items. Based on three processes, a new perceived value of Taekwondo performance spectators scale with six factors(cultural, social, hedonic, aesthetic, moral and utilitarian value) and 19 items were developed. The result of predictive validity of development items: first, cultural, social, aesthetics, moral of perceived value had significantly influence on spectators attitude. Second, social, hedonic, utilitarian of perceived value had significantly influence on spectators satisfaction. Third, cultural, social, aesthetics perceived value had significantly influence on future consumption behavior of spectators.

• Nuclear Engineering and Technology
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• v.56 no.9
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• pp.3594-3601
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• 2024

It is difficult to detect a small-scale leakage in a nuclear power plant (NPP) quickly and take appropriate action. Delaying these procedures can have adverse effects on NPPs. In this paper, we propose leak flow rate prediction using the bidirectional gated recurrent unit (Bi-GRU) method to detect leakage quickly and accurately in small-scale leakage situations because large-scale leak rates are known to be predicted accurately. The data were acquired by simulating small loss-of-coolant accidents (LOCA) or small-scale leakage situations using the modular accident analysis program (MAAP) code. In addition, to improve prediction performance, data were collected by distinguishing the break sizes in more detail. In addition, the prediction accuracy was improved by performing both LOCA diagnosis and leak flow rate prediction in small LOCA situations. The prediction model developed using the Bi-GRU showed a superior prediction performance compared with other artificial intelligence methods. Accordingly, the accurate and effective prediction model for small-scale leakage situations proposed herein is expected to support operators in decision-making and taking actions.

• 한국전산유체공학회:학술대회논문집
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• 2006.10a
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• pp.155-158
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• 2006

In the present paper, the scale effects of two-dimensional airfoil and three-dimensional wind turbine were investigated by using FLUENT software. For two dimensional analysis, flow around S809 airfoil with various Reynolds No. and Mach No. conditions were simulated. For three dimensional analysis, scaled NREL Phase VI wind turbine models from 6% to 1,600% were simulated under the same tip speed ratio condition. Finally, aerodynamic comparisons between two-dimensional flow and three dimensional wind turbine flow are made for the feasibility study of scale effect corrections. Currently, KARI(Korea Aerospace Research Institute) is preparing for the wind tunnel test of 12% NREL Phase VI wind turbine and the performance analysis of the scaled NREL wind turbine model will be validated by the wind tunnel test.